Nothing
## ----setup, include = FALSE----------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## ----config, echo=TRUE---------------------------------------------------
library(VFS)
data(soildat)
data(bufferdat)
# basic required parameters
nyears <- 3
FieldArea <- 4000
FieldSlope <- 0.05
VFSslope <- 0.02
VFSwidth <- 15
soilP <- 120
soilOM <- 2
## ----weathgen, echo=TRUE-------------------------------------------------
# State College, PA GHCN data
data("weather")
weather.param <- wth.param(weather, method="markov")
rainfallSC <- rainfall(365*nyears, weather.param)
temperatureSC <- temperature(365*nyears, weather.param)
## ----weathergenfig, fig.cap="State College, PA, simulated daily weather", echo=FALSE, fig.show="hold", width=6, height=6----
temp.mai <- par()$mai
temp.mai[3] <- 0.1
par(mai = temp.mai)
barplot(rainfallSC, col="blue", ylab="Rainfall (mm)", xlab="Day")
plot(temperatureSC, col="red", ylab="Temperature (C)", type="l", xaxt="n")
axis(1, at=(0:2 * 365), labels=paste("Yr", 1:3))
## ----vfs, echo=TRUE------------------------------------------------------
# bluegrass filter strip
vfsSC <- lapply(seq_len(nrow(soildat)), function(i)
VFS(nyears=nyears, thissoil=soildat[i,],
thisbuffer=subset(bufferdat, Species == "bluegrass"),
rain=rainfallSC, temperature=temperatureSC, FieldArea=FieldArea,
VFSwidth=VFSwidth, VFSslope=VFSslope, FieldSlope=FieldSlope, b=1.5))
names(vfsSC) <- soildat$Soil
vfsSC.summary <- data.frame(t(sapply(vfsSC, summary)))
## ----VFSfig, fig.cap="VFS efficacy at sediment removal by soil texture", echo=FALSE, fig.show="hold", width=7, height=6----
temp.mai <- par()$mai
temp.mai[3] <- 0.1
par(mai = temp.mai)
plot(c(100, 600), c(0, 100), type="n", xlab="Annual runoff (mm)", ylab="TLR (%)", xlim=c(100, 600), ylim=c(0, 100))
with(vfsSC.summary, points(Runoff, TLR, col="darkgreen", pch=0))
with(vfsSC.summary, text(Runoff, TLR - 5, row.names(vfsSC.summary), cex=.5))
## ----APLE1, echo=TRUE----------------------------------------------------
apleSC <- lapply(vfsSC, function(x)VFSAPLE(x, soilP=soilP, OM=soilOM))
names(apleSC) <- soildat$Soil
apleSC.summary <- data.frame(t(sapply(apleSC, summary)))
## ----APLEfig, fig.cap="VFS efficacy at removing phosphorus", echo=FALSE, fig.show="hold", width=7, height=6----
temp.mai <- par()$mai
temp.mai[3] <- 0.1
par(mai = temp.mai)
plot(c(0, 100), c(0, 100), type="n", xlab="Sediment removed (%)", ylab="Phosphorus removed (%)", xlim=c(0, 100), ylim=c(0, 100))
points(vfsSC.summary$MUSLETLR, apleSC.summary$AnnualErosionPRemoval, pch=0, col="darkgreen", cex=1.5)
abline(c(0,1), lty=2, col="gray")
points(vfsSC.summary$MUSLETLR, apleSC.summary$AnnualTotalPRemoval, pch=15, col="darkgreen", cex=1.5)
text(vfsSC.summary$MUSLETLR, apleSC.summary$AnnualTotalPRemoval-6, row.names(vfsSC.summary), cex=.5)
legend("topleft", pch=c(0, 15), col="darkgreen", legend=c("Erosion P", "Total P"))
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